Md Shahiduzzaman S. is a Full Stack Engineer with several years of experience in building scalable web applications, particularly focusing on backend systems and platform reliability. He works extensively with technologies such as Python, JavaScript, TypeScript, and C++, utilizing frameworks like Django, Django REST Framework, and ReactJS to develop APIs and web applications. His expertise also includes PostgreSQL, Redis, Celery, and Next.js, with a strong emphasis on deploying cloud infrastructure using Docker, AWS S3, and DigitalOcean Spaces. At Inverse.AI, Md Shahiduzzaman led the development of the Noise Reducer and Remove.Music web apps, achieving a 30x increase in platform revenue over two years. He managed a backend serving over 150,000 users, handling 4,000+ daily uploads, and integrated advanced features like real-time streaming and media processing. Md Shahiduzzaman holds a B.Sc. in Computer Science from the International Islamic University Chittagong. He is best suited for roles that involve both backend and frontend development, cloud integration, and the implementation of scalable, high-performance systems.
Built and maintained a scalable backend with Django serving Web, Android, and iOS platforms for upload, process download, feedback, analytics and history features, supporting 150,000+ registered users and handling 4,000+ daily uploads. Contributed to the frontend by integrating APIs, implementing audio processing features with FFmpeg, and building components using Next.js and Material UI; collaborated with the UI/UX team via Figma to ensure responsive and user-friendly design.
EnglishTests.ai is an AI-driven English speaking assessment platform designed to help learners improve their pronunciation, fluency, and reading accuracy through automated speech analysis. The platform provides users with a passage to read aloud or allows them to paste their own text. After reviewing the text, users record themselves reading it and upload the audio file for evaluation. Using advanced machine learning and speech-processing models, the system compares the spoken audio against the reference text and generates a detailed pronunciation assessment. The analysis goes beyond a simple score by identifying pronunciation strengths and weaknesses at multiple levels.
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Full Stack Engineer
Dhaka, Bangladesh · 3-4 years experience
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